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Shameela Mohamedikbal

Showing results (1-10 of 7) with videos related to

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Current Opinion in Plant Biology|November 17, 2025
Pangenomics combined with artificial intelligence and precision breeding can accelerate crop improvementTeng Li, Shameela Mohamedikbal, Mitchell Bestry, et al.
Methods in Molecular Biology (Clifton, N.J.)|October 1, 2025
Local Haplotyping Analysis for Flowering Time in Soybean Using CrosshapShameela Mohamedikbal, Shriprabha R Upadhyaya, Mitchell Bestry, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|June 27, 2025
Integrating multi-omics and machine learning for disease resistance prediction in legumesShameela Mohamedikbal, Hawlader A Al-Mamun, Mitchell S Bestry, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|March 25, 2026
Dissection of local haplotype diversity at soybean rust loci reveals resistance-associated and context-dependent variation patterns in diverse germplasmShameela Mohamedikbal, Hawlader A Al-Mamun, Jacob I Marsh, et al.
Plants (Basel, Switzerland)|March 14, 2026
Trait Association for Flowering Time in Lentil from Global Multi-Environment Data Using GWAS and Machine LearningShriprabha R Upadhyaya, Hawlader A Al-Mamun, Monica F Danilevicz, et al.
Methods in Molecular Biology (Clifton, N.J.)|October 1, 2025
Genome-Wide Association Study: A Soybean ExampleShameela Mohamedikbal, Robyn Anderson, Cassandria Tay Fernandez, et al.
The Plant Genome|November 7, 2024
Local haplotyping reveals insights into the genetic control of flowering time variation in wild and domesticated soybeanShameela Mohamedikbal, Hawlader A Al-Mamun, Jacob I Marsh, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Current Opinion in Plant Biology|November 17, 2025
Pangenomics combined with artificial intelligence and precision breeding can accelerate crop improvementTeng Li, Shameela Mohamedikbal, Mitchell Bestry, et al.
Methods in Molecular Biology (Clifton, N.J.)|October 1, 2025
Local Haplotyping Analysis for Flowering Time in Soybean Using CrosshapShameela Mohamedikbal, Shriprabha R Upadhyaya, Mitchell Bestry, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|June 27, 2025
Integrating multi-omics and machine learning for disease resistance prediction in legumesShameela Mohamedikbal, Hawlader A Al-Mamun, Mitchell S Bestry, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|March 25, 2026
Dissection of local haplotype diversity at soybean rust loci reveals resistance-associated and context-dependent variation patterns in diverse germplasmShameela Mohamedikbal, Hawlader A Al-Mamun, Jacob I Marsh, et al.
Plants (Basel, Switzerland)|March 14, 2026
Trait Association for Flowering Time in Lentil from Global Multi-Environment Data Using GWAS and Machine LearningShriprabha R Upadhyaya, Hawlader A Al-Mamun, Monica F Danilevicz, et al.
Methods in Molecular Biology (Clifton, N.J.)|October 1, 2025
Genome-Wide Association Study: A Soybean ExampleShameela Mohamedikbal, Robyn Anderson, Cassandria Tay Fernandez, et al.
The Plant Genome|November 7, 2024
Local haplotyping reveals insights into the genetic control of flowering time variation in wild and domesticated soybeanShameela Mohamedikbal, Hawlader A Al-Mamun, Jacob I Marsh, et al.
Pageof 1